Scientific & Practical Journal
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Dear readers! We present to your attention the third issue of the LOGISTICS journal. First of all, we would like to draw readers' attention to our new partner R1 Development, a development company that creates a new generation environment and specializes in the construction of industrial, logistics, commercial and residential real estate. One of the projects of R1 Development is the Druzhba industrial park network.
Dear readers! We present to your attention the third issue of the LOGISTICS journal for 2025. Our editorial staff, like all our colleagues, is preparing for the TransRussia 2025 exhibition, the largest event in the industry. In this issue, we have prepared an interview with Natalia Lomunova, Director of TransRussia, with whom we are talking about a flexible approach, new participants and digital services. We continue the series of articles from P.V.
Dear readers! We present to your attention the first issue of the LOGISTICS journal in 2025. First of all, we would like to draw readers' attention to our new partner R1 Development, a development company that creates a new generation environment and specializes in the construction of industrial, logistics, commercial and residential real estate. One of the projects of R1 Development is the Druzhba industrial park network.
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Assessment of the probabilistic demand for goods in frames of the model of warehouse infrastructure formation in the territory of a subject of the Russian Federation
Pavel Popov, Olga Tsekhan10 / 2019 | INFRASTRUCTURE
Annotation. The article provides a model for the formation of warehouse infrastructure in the region of the Russian Federation. The model takes into account the possibility of delivering goods on various types of carriers. The model allows you to determine the optimal location of the network of distribution and sorting warehouses in the territory of the subject of the Russian Federation, taking into account the probabilistic demand for goods.
Key words. Warehouse infrastructure, distribution and sorting warehouses, stochastic model, probabilistic demand.
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